Global Simultaneous Localization and Mapping Market

Simultaneous Localization and Mapping Comprehensive Study by Type (EKF SLAM, Fast SLAM, Graph-Based SLAM, Others), Application (Robotics, UAV, AR/VR, Automotive, Other), Offering (2D SLAM, 3D SLAM) Players and Region - Global Market Outlook to 2026

Simultaneous Localization and Mapping Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Simultaneous localization and mapping (SLAM) could be a part of robotic navigation and mapping. it's the procedure drawback of change an unknown setting map by at the same time keeping a track of the placement of the agent inside it. many algorithms area unit accustomed solve it, in a very traceable quantity for a particular setting. a number of the favored strategies embody extended Kalman filter, GraphSLAM, and particle filter.This growth is primarily driven by Rising Growth of SLAM in Augmented Reality (AR) and The emergence of New Digital Technologies like Automation and Artificial Intelligence.

Globally, a noticeable market trend is evident Employment of Cloud-Based Visual SLAM for Outdoor Applications. The Robotics & Automation sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Intel (United States), Microsoft (United States), Alphabet (United States), Amazon Robotics (United States), Apple (United States), Clearpath Robotics (Canada), Aethon (United States), The Hi-Tech Robotic Systemz (India), Facebook (United States), Intellias (Ukraine) and Magic Leap (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In 2019, Facebook Inc., the biggest social media platform, acquired London computer vision startup Scape Technologies Ltd. Cape Technologies works with a cloud-based Visual Engine allowing user’s devices to tap into fused insights of the surrounding world with augmented reality capabilities additionally helping in determining the precise location for accurate visual services.
In 2021, Intel (US), in association with Mobileye (Israel), launched a road experience management (REM) platform—an HD mapping solution that uses data collected by REM-capable vehicles to build maps that can be used in ADAS and autonomous driving systems.

Market Drivers
  • Rising Growth of SLAM in Augmented Reality (AR)
  • The emergence of New Digital Technologies like Automation and Artificial Intelligence

Market Trend
  • Employment of Cloud-Based Visual SLAM for Outdoor Applications

Restraints
  • Incorrect Initialization and Loop Closure will Lower the SLAM Accuracy and Hamper the Market Growth

Opportunities
Demand for Service Robot for Domestic Applications and Rising Demand for Drones in Military and Commercial Applications
Challenges
Increased Complex Design of Data Association in Visual SLAM

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Simultaneous Localization and Mapping Study Sheds Light on
— The Simultaneous Localization and Mapping Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Simultaneous Localization and Mapping industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Simultaneous Localization and Mapping industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • EKF SLAM
  • Fast SLAM
  • Graph-Based SLAM
  • Others
By Application
  • Robotics
  • UAV
  • AR/VR
  • Automotive
  • Other
By Offering
  • 2D SLAM
  • 3D SLAM

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Growth of SLAM in Augmented Reality (AR)
      • 3.2.2. The emergence of New Digital Technologies like Automation and Artificial Intelligence
    • 3.3. Market Challenges
      • 3.3.1. Increased Complex Design of Data Association in Visual SLAM
    • 3.4. Market Trends
      • 3.4.1. Employment of Cloud-Based Visual SLAM for Outdoor Applications
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Simultaneous Localization and Mapping, by Type, Application, Offering and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Simultaneous Localization and Mapping (Value)
      • 5.2.1. Global Simultaneous Localization and Mapping by: Type (Value)
        • 5.2.1.1. EKF SLAM
        • 5.2.1.2. Fast SLAM
        • 5.2.1.3. Graph-Based SLAM
        • 5.2.1.4. Others
      • 5.2.2. Global Simultaneous Localization and Mapping by: Application (Value)
        • 5.2.2.1. Robotics
        • 5.2.2.2. UAV
        • 5.2.2.3. AR/VR
        • 5.2.2.4. Automotive
        • 5.2.2.5. Other
      • 5.2.3. Global Simultaneous Localization and Mapping by: Offering (Value)
        • 5.2.3.1. 2D SLAM
        • 5.2.3.2. 3D SLAM
      • 5.2.4. Global Simultaneous Localization and Mapping Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Simultaneous Localization and Mapping: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Intel (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Alphabet (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Amazon Robotics (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Apple (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Clearpath Robotics (Canada)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Aethon (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. The Hi-Tech Robotic Systemz (India)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Facebook (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Intellias (Ukraine)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Magic Leap (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Simultaneous Localization and Mapping Sale, by Type, Application, Offering and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Simultaneous Localization and Mapping (Value)
      • 7.2.1. Global Simultaneous Localization and Mapping by: Type (Value)
        • 7.2.1.1. EKF SLAM
        • 7.2.1.2. Fast SLAM
        • 7.2.1.3. Graph-Based SLAM
        • 7.2.1.4. Others
      • 7.2.2. Global Simultaneous Localization and Mapping by: Application (Value)
        • 7.2.2.1. Robotics
        • 7.2.2.2. UAV
        • 7.2.2.3. AR/VR
        • 7.2.2.4. Automotive
        • 7.2.2.5. Other
      • 7.2.3. Global Simultaneous Localization and Mapping by: Offering (Value)
        • 7.2.3.1. 2D SLAM
        • 7.2.3.2. 3D SLAM
      • 7.2.4. Global Simultaneous Localization and Mapping Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Simultaneous Localization and Mapping: by Type(USD Million)
  • Table 2. Simultaneous Localization and Mapping EKF SLAM , by Region USD Million (2015-2020)
  • Table 3. Simultaneous Localization and Mapping Fast SLAM , by Region USD Million (2015-2020)
  • Table 4. Simultaneous Localization and Mapping Graph-Based SLAM , by Region USD Million (2015-2020)
  • Table 5. Simultaneous Localization and Mapping Others , by Region USD Million (2015-2020)
  • Table 6. Simultaneous Localization and Mapping: by Application(USD Million)
  • Table 7. Simultaneous Localization and Mapping Robotics , by Region USD Million (2015-2020)
  • Table 8. Simultaneous Localization and Mapping UAV , by Region USD Million (2015-2020)
  • Table 9. Simultaneous Localization and Mapping AR/VR , by Region USD Million (2015-2020)
  • Table 10. Simultaneous Localization and Mapping Automotive , by Region USD Million (2015-2020)
  • Table 11. Simultaneous Localization and Mapping Other , by Region USD Million (2015-2020)
  • Table 12. Simultaneous Localization and Mapping: by Offering(USD Million)
  • Table 13. Simultaneous Localization and Mapping 2D SLAM , by Region USD Million (2015-2020)
  • Table 14. Simultaneous Localization and Mapping 3D SLAM , by Region USD Million (2015-2020)
  • Table 15. South America Simultaneous Localization and Mapping, by Country USD Million (2015-2020)
  • Table 16. South America Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 17. South America Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 18. South America Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 19. Brazil Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 20. Brazil Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 21. Brazil Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 22. Argentina Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 23. Argentina Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 24. Argentina Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 25. Rest of South America Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 26. Rest of South America Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 27. Rest of South America Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 28. Asia Pacific Simultaneous Localization and Mapping, by Country USD Million (2015-2020)
  • Table 29. Asia Pacific Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 30. Asia Pacific Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 31. Asia Pacific Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 32. China Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 33. China Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 34. China Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 35. Japan Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 36. Japan Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 37. Japan Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 38. India Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 39. India Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 40. India Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 41. South Korea Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 42. South Korea Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 43. South Korea Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 44. Taiwan Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 45. Taiwan Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 46. Taiwan Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 47. Australia Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 48. Australia Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 49. Australia Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 50. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 51. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 52. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 53. Europe Simultaneous Localization and Mapping, by Country USD Million (2015-2020)
  • Table 54. Europe Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 55. Europe Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 56. Europe Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 57. Germany Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 58. Germany Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 59. Germany Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 60. France Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 61. France Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 62. France Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 63. Italy Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 64. Italy Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 65. Italy Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 66. United Kingdom Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 67. United Kingdom Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 68. United Kingdom Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 69. Netherlands Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 70. Netherlands Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 71. Netherlands Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 72. Rest of Europe Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 73. Rest of Europe Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 74. Rest of Europe Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 75. MEA Simultaneous Localization and Mapping, by Country USD Million (2015-2020)
  • Table 76. MEA Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 77. MEA Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 78. MEA Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 79. Middle East Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 80. Middle East Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 81. Middle East Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 82. Africa Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 83. Africa Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 84. Africa Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 85. North America Simultaneous Localization and Mapping, by Country USD Million (2015-2020)
  • Table 86. North America Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 87. North America Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 88. North America Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 89. United States Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 90. United States Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 91. United States Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 92. Canada Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 93. Canada Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 94. Canada Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 95. Mexico Simultaneous Localization and Mapping, by Type USD Million (2015-2020)
  • Table 96. Mexico Simultaneous Localization and Mapping, by Application USD Million (2015-2020)
  • Table 97. Mexico Simultaneous Localization and Mapping, by Offering USD Million (2015-2020)
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Simultaneous Localization and Mapping: by Type(USD Million)
  • Table 110. Simultaneous Localization and Mapping EKF SLAM , by Region USD Million (2021-2026)
  • Table 111. Simultaneous Localization and Mapping Fast SLAM , by Region USD Million (2021-2026)
  • Table 112. Simultaneous Localization and Mapping Graph-Based SLAM , by Region USD Million (2021-2026)
  • Table 113. Simultaneous Localization and Mapping Others , by Region USD Million (2021-2026)
  • Table 114. Simultaneous Localization and Mapping: by Application(USD Million)
  • Table 115. Simultaneous Localization and Mapping Robotics , by Region USD Million (2021-2026)
  • Table 116. Simultaneous Localization and Mapping UAV , by Region USD Million (2021-2026)
  • Table 117. Simultaneous Localization and Mapping AR/VR , by Region USD Million (2021-2026)
  • Table 118. Simultaneous Localization and Mapping Automotive , by Region USD Million (2021-2026)
  • Table 119. Simultaneous Localization and Mapping Other , by Region USD Million (2021-2026)
  • Table 120. Simultaneous Localization and Mapping: by Offering(USD Million)
  • Table 121. Simultaneous Localization and Mapping 2D SLAM , by Region USD Million (2021-2026)
  • Table 122. Simultaneous Localization and Mapping 3D SLAM , by Region USD Million (2021-2026)
  • Table 123. South America Simultaneous Localization and Mapping, by Country USD Million (2021-2026)
  • Table 124. South America Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 125. South America Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 126. South America Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 127. Brazil Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 128. Brazil Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 129. Brazil Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 130. Argentina Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 131. Argentina Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 132. Argentina Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 133. Rest of South America Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 134. Rest of South America Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 135. Rest of South America Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 136. Asia Pacific Simultaneous Localization and Mapping, by Country USD Million (2021-2026)
  • Table 137. Asia Pacific Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 138. Asia Pacific Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 139. Asia Pacific Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 140. China Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 141. China Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 142. China Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 143. Japan Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 144. Japan Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 145. Japan Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 146. India Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 147. India Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 148. India Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 149. South Korea Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 150. South Korea Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 151. South Korea Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 152. Taiwan Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 153. Taiwan Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 154. Taiwan Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 155. Australia Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 156. Australia Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 157. Australia Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 158. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 159. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 160. Rest of Asia-Pacific Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 161. Europe Simultaneous Localization and Mapping, by Country USD Million (2021-2026)
  • Table 162. Europe Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 163. Europe Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 164. Europe Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 165. Germany Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 166. Germany Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 167. Germany Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 168. France Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 169. France Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 170. France Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 171. Italy Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 172. Italy Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 173. Italy Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 174. United Kingdom Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 175. United Kingdom Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 176. United Kingdom Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 177. Netherlands Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 178. Netherlands Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 179. Netherlands Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 180. Rest of Europe Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 181. Rest of Europe Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 182. Rest of Europe Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 183. MEA Simultaneous Localization and Mapping, by Country USD Million (2021-2026)
  • Table 184. MEA Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 185. MEA Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 186. MEA Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 187. Middle East Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 188. Middle East Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 189. Middle East Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 190. Africa Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 191. Africa Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 192. Africa Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 193. North America Simultaneous Localization and Mapping, by Country USD Million (2021-2026)
  • Table 194. North America Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 195. North America Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 196. North America Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 197. United States Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 198. United States Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 199. United States Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 200. Canada Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 201. Canada Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 202. Canada Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 203. Mexico Simultaneous Localization and Mapping, by Type USD Million (2021-2026)
  • Table 204. Mexico Simultaneous Localization and Mapping, by Application USD Million (2021-2026)
  • Table 205. Mexico Simultaneous Localization and Mapping, by Offering USD Million (2021-2026)
  • Table 206. Research Programs/Design for This Report
  • Table 207. Key Data Information from Secondary Sources
  • Table 208. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Simultaneous Localization and Mapping: by Type USD Million (2015-2020)
  • Figure 5. Global Simultaneous Localization and Mapping: by Application USD Million (2015-2020)
  • Figure 6. Global Simultaneous Localization and Mapping: by Offering USD Million (2015-2020)
  • Figure 7. South America Simultaneous Localization and Mapping Share (%), by Country
  • Figure 8. Asia Pacific Simultaneous Localization and Mapping Share (%), by Country
  • Figure 9. Europe Simultaneous Localization and Mapping Share (%), by Country
  • Figure 10. MEA Simultaneous Localization and Mapping Share (%), by Country
  • Figure 11. North America Simultaneous Localization and Mapping Share (%), by Country
  • Figure 12. Global Simultaneous Localization and Mapping share by Players 2020 (%)
  • Figure 13. Global Simultaneous Localization and Mapping share by Players (Top 3) 2020(%)
  • Figure 14. Global Simultaneous Localization and Mapping share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 17. Intel (United States) Revenue: by Geography 2020
  • Figure 18. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 19. Microsoft (United States) Revenue: by Geography 2020
  • Figure 20. Alphabet (United States) Revenue, Net Income and Gross profit
  • Figure 21. Alphabet (United States) Revenue: by Geography 2020
  • Figure 22. Amazon Robotics (United States) Revenue, Net Income and Gross profit
  • Figure 23. Amazon Robotics (United States) Revenue: by Geography 2020
  • Figure 24. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 25. Apple (United States) Revenue: by Geography 2020
  • Figure 26. Clearpath Robotics (Canada) Revenue, Net Income and Gross profit
  • Figure 27. Clearpath Robotics (Canada) Revenue: by Geography 2020
  • Figure 28. Aethon (United States) Revenue, Net Income and Gross profit
  • Figure 29. Aethon (United States) Revenue: by Geography 2020
  • Figure 30. The Hi-Tech Robotic Systemz (India) Revenue, Net Income and Gross profit
  • Figure 31. The Hi-Tech Robotic Systemz (India) Revenue: by Geography 2020
  • Figure 32. Facebook (United States) Revenue, Net Income and Gross profit
  • Figure 33. Facebook (United States) Revenue: by Geography 2020
  • Figure 34. Intellias (Ukraine) Revenue, Net Income and Gross profit
  • Figure 35. Intellias (Ukraine) Revenue: by Geography 2020
  • Figure 36. Magic Leap (United States) Revenue, Net Income and Gross profit
  • Figure 37. Magic Leap (United States) Revenue: by Geography 2020
  • Figure 38. Global Simultaneous Localization and Mapping: by Type USD Million (2021-2026)
  • Figure 39. Global Simultaneous Localization and Mapping: by Application USD Million (2021-2026)
  • Figure 40. Global Simultaneous Localization and Mapping: by Offering USD Million (2021-2026)
  • Figure 41. South America Simultaneous Localization and Mapping Share (%), by Country
  • Figure 42. Asia Pacific Simultaneous Localization and Mapping Share (%), by Country
  • Figure 43. Europe Simultaneous Localization and Mapping Share (%), by Country
  • Figure 44. MEA Simultaneous Localization and Mapping Share (%), by Country
  • Figure 45. North America Simultaneous Localization and Mapping Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Intel (United States)
  • Microsoft (United States)
  • Alphabet (United States)
  • Amazon Robotics (United States)
  • Apple (United States)
  • Clearpath Robotics (Canada)
  • Aethon (United States)
  • The Hi-Tech Robotic Systemz (India)
  • Facebook (United States)
  • Intellias (Ukraine)
  • Magic Leap (United States)
Additional players considered in the study are as follows:
Rethink Robotics (United States) , Skydio (United States) , NavVis (Germany) , MAXST (South Korea) , Mobile Industrial Robots ApS (Denmark)
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Key Highlights of Report


Aug 2021 249 Pages 83 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Simultaneous Localization and Mapping Market Quantitative research analysis
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Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global Simultaneous Localization and Mapping Market are Intel (United States), Microsoft (United States), Alphabet (United States), Amazon Robotics (United States), Apple (United States), Clearpath Robotics (Canada), Aethon (United States), The Hi-Tech Robotic Systemz (India), Facebook (United States), Intellias (Ukraine) and Magic Leap (United States) etc.
Simultaneous localization and mapping (SLAM) could be a part of robotic navigation and mapping. it's the procedure drawback of change an unknown setting map by at the same time keeping a track of the placement of the agent inside it. many algorithms area unit accustomed solve it, in a very traceable quantity for a particular setting. a number of the favored strategies embody extended Kalman filter, GraphSLAM, and particle filter.

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